Article
Engineering, Electrical & Electronic
Ke Jia, Qijuan Zhao, Zhengxuan Zhu, Tianshu Bi
Summary: This article analyzes the high-frequency characteristics of faults in multi-converter DC systems and obtains the frequency domain impedance model of converters based on transient fault circuit analysis method. The model established in the higher frequency band provides a stable impedance value unaffected by control strategy, laying a theoretical foundation for the protection principle. Additionally, the characteristics of high-frequency impedance superposition in multi-converter systems are given, which provides a basis for system-level protection setting and coordination.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Suhua Luo, Fengjiang Wu, Guizhong Wang
Summary: This article analyzes the impact of CTPS modulation on the DAB converter, proposes solutions to eliminate the effects of dead band and transient actions, and validates these solutions through experiments.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Health Care Sciences & Services
Matthew Abueg, Robert Hinch, Neo Wu, Luyang Liu, William Probert, Austin Wu, Paul Eastham, Yusef Shafi, Matt Rosencrantz, Michael Dikovsky, Zhao Cheng, Anel Nurtay, Lucie Abeler-Dorner, David Bonsall, Michael V. McConnell, Shawn O'Banion, Christophe Fraser
Summary: The study shows that combining digital exposure notifications with other measures can effectively reduce COVID-19 infection and mortality rates, complementing traditional contact tracing. This research provides guidance for health authorities, highlighting the importance of digital technologies in fighting the spread of the virus.
NPJ DIGITAL MEDICINE
(2021)
Article
Medicine, General & Internal
Paolo Bosetti, Cecile Tran Kiem, Alessio Andronico, Vittoria Colizza, Yazdan Yazdanpanah, Arnaud Fontanet, Daniel Benamouzig, Simon Cauchemez
Summary: Vaccination is expected to have a significant impact on the epidemiology and management of SARS-CoV-2. In the absence of measures, unvaccinated adults contribute significantly to hospitalizations, while unvaccinated children are responsible for a large proportion of infections. Vaccinating the unvaccinated is the most effective control strategy.
Article
Biochemistry & Molecular Biology
Henry Goehlich, Olivia Roth, Michael Sieber, Cynthia M. Chibani, Anja Poehlein, Jelena Rajkov, Heiko Liesegang, Carolin C. Wendling
Summary: Infections by filamentous phages can influence bacterial fitness, with the production of viral particles being energetically costly. Bacteria can evolve resistance if the costs outweigh the benefits, shortening phage epidemics. The impact of abiotic conditions on host resistance evolution is still unknown.
Article
Engineering, Chemical
Jindong Dai, Chi Zhai, Jiali Ai, Jiaying Ma, Jingde Wang, Wei Sun
Summary: Mathematical modeling, particularly using cellular automaton, is powerful in studying the spread of infectious diseases. A model was proposed and validated using COVID-19 confirmation data from New York City and Iowa, showing different disease spread patterns in different cities. Simulation under different control strategies could provide valuable insights for decision makers in infection control measures in Iowa in the future.
Article
Multidisciplinary Sciences
Sooyeong Kim, Jane Breen, Ekaterina Dudkina, Federico Poloni, Emanuele Crisostomi
Summary: Random walks on graphs are commonly used to analyze and predict epidemic spreads. However, models based on single stochastic agents may not accurately describe certain features of epidemic spread, like spreading times. In this study, a Markov chain based method is discussed, which accurately reflects the mean infection times for disease spread in a network. A procedure for efficiently computing these times through a sampling strategy is determined. Additionally, a new centrality measure based on infection times is introduced and compared to other measures based on random walks.
Article
Transportation
Chenfeng Xiong, Xianfeng Terry Yang, Lei Zhang, Minha Lee, Weiyi Zhou, Mohammed Raqib
Summary: Developing an integrated travel behavior and dynamic traffic assignment modeling tool, AgBM-DTALite, for real-time and dynamic analysis of ATM and TSM&O, revealed significant changes in departure time behaviors in response to different ATM strategies in the Washington, DC area.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
H. Alameri, P. Gomez
Summary: This paper introduces two Laplace domain-based approaches to model buck and boost DC-DC converters for electromagnetic transient studies.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Biochemistry & Molecular Biology
Tanmoy Mondal, Coleman I. Smith, Christopher A. Loffredo, Ruth Quartey, Gemeyel Moses, Charles D. Howell, Brent Korba, Bernard Kwabi-Addo, Gail Nunlee-Bland, Leanna R. Rucker, Jheannelle Johnson, Somiranjan Ghosh, Andrea Ferrigno
Summary: This pilot study evaluated differential gene expressions and identified signature genes in disease pathways of African American individuals with MASLD. It found a significant overlap in differentially expressed genes and pathways identified in previous studies using hepatic tissue. The study also highlighted the potential of blood samples as a non-invasive alternative for future studies.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Vineet Yadav, Subhomoy Ghosh, Kimberly Mueller, Anna Karion, Geoffrey Roest, Sharon M. Gourdji, Israel Lopez-Coto, Kevin R. Gurney, Nicholas Parazoo, Kristal R. Verhulst, Jooil Kim, Steve Prinzivalli, Clayton Fain, Thomas Nehrkorn, Marikate Mountain, Ralph F. Keeling, Ray F. Weiss, Riley Duren, Charles E. Miller, James Whetstone
Summary: Responses to COVID-19 have led to unintended reductions in city-scale carbon dioxide (CO2) emissions. The study on CO2 emissions in Los Angeles and Washington DC/Baltimore during March and April 2020 reveals the advantages of atmospheric CO2 observations in providing timely insights into rapidly changing emissions patterns.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Agriculture, Dairy & Animal Science
Yunfei Jia, Wenshan Sun, Guifang Su, Junguo Hua, Zejun He
Summary: This study analyzed the mechanism of the effect of swine epidemics on nonlinear shocks to pig supply in China and proposed relevant measures for prevention and control. The study found that swine epidemics had a significant impact on pig stock and slaughter within certain threshold ranges.
Article
Engineering, Electrical & Electronic
Shien Wang, Chi Li, Kui Wang, Zedong Zheng, Yongdong Li
Summary: The article discusses the importance of PWM generation techniques in improving the performance of DAB converters using TPS modulation, which is often overlooked. A comprehensive PWM generation technique is proposed to address issues such as switching loss imbalances and transient dc biases, resulting in enhanced performance and fast dynamic responses of the converters. The proposed modulation and PWM generation strategy have been verified with a laboratory prototype.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Computer Science, Hardware & Architecture
Joao Vitor Zastrow, Henrique de Souza Medeiros
Summary: This paper presents a method for mathematical modeling and analysis of the DC-DC Buck Converter output voltage, demonstrating accurate expressions for the converter behavior under different control signals. Validation of the mathematical model against numerical methods shows its effectiveness and practicality in different scenarios.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2021)
Article
Medicine, Legal
Lucy Nguyen, Alexandra Evans, Gabriela Frank, Morgan Levitas, Allie Mennella, Luke C. Short
Summary: For the first time in Washington, D.C., an in-depth analysis of counterfeit pills has been performed, revealing an increasing trend of counterfeit pills containing fentanyl. The study aims to illustrate the counterfeit pill trends and highlight the importance of analyzing pharmaceuticals.
FORENSIC SCIENCE INTERNATIONAL
(2022)
Article
Biochemical Research Methods
Nargesalsadat Dorratoltaj, Achla Marathe, Bryan L. Lewis, Samarth Swarup, Stephen G. Eubank, Kaja M. Abbas
PLOS COMPUTATIONAL BIOLOGY
(2017)
Review
Multidisciplinary Sciences
Nargesalsadat Dorratoltaj, Ryan Nikin-Beers, Stanca M. Ciupe, Stephen G. Eubank, Kaja M. Abbas
Article
Biology
Madhurima Nath, Yihui Ren, Yasamin Khorramzadeh, Stephen Eubank
JOURNAL OF THEORETICAL BIOLOGY
(2018)
Article
Medicine, General & Internal
Abhijin Adiga, Shuyu Chu, Stephen Eubank, Christopher J. Kuhlman, Bryan Lewis, Achla Marathe, Madhav Marathe, Eric K. Nordberg, Samarth Swarup, Anil Vullikanti, Mandy L. Wilson
Article
Biochemical Research Methods
Prithwish Chakraborty, Bryan Lewis, Stephen Eubank, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan
PLOS COMPUTATIONAL BIOLOGY
(2018)
Article
Infectious Diseases
Daniel Romero-Alvarez, Nidhi Parikh, Dave Osthus, Kaitlyn Martinez, Nicholas Generous, Sara del Valle, Carrie A. Manore
BMC INFECTIOUS DISEASES
(2020)
Article
Health Care Sciences & Services
Ashlynn R. Daughton, Courtney D. Shelley, Martha Barnard, Dax Gerts, Chrysm Watson Ross, Isabel Crooker, Gopal Nadiga, Nilesh Mukundan, Nidia Yadira Vaquera Chavez, Nidhi Parikh, Travis Pitts, Geoffrey Fairchild
Summary: This study utilized Twitter data to identify human behaviors and perceptions relevant to COVID-19 transmission, aiming to monitor public perceptions in real time and inform public health communication strategies. The findings showed that Twitter provides valuable information for modeling human behavior and understanding awareness and compliance with suggested behaviors.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Review
Multidisciplinary Sciences
Nidhi Parikh, Madhav V. Marathe, Samarth Swarup
Summary: The paper presents an approach to generate contextualized behavior recommendations from a large, data-driven, complex agent-based simulation. By ranking causally relevant states and using partial state descriptions to retrieve appropriate sets of states, behavior recommendations are generated based on their impact on specific outcomes. The method is applied to a complex disaster simulation in a major urban area to demonstrate its effectiveness through multiple queries.
JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE
(2021)
Article
Public, Environmental & Occupational Health
Dax Gerts, Courtney D. Shelley, Nidhi Parikh, Travis Pitts, Chrysm Watson Ross, Geoffrey Fairchild, Nidia Yadria Vaquera Chavez, Ashlynn R. Daughton
Summary: This study aims to characterize and classify four COVID-19 conspiracy theories using Twitter data. Analysis revealed that misinformation tweets demonstrate more negative sentiment, and conspiracy theories evolve over time incorporating details from unrelated theories and real-world events.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2021)
Article
Public, Environmental & Occupational Health
Nidhi Parikh, Ashlynn R. Daughton, William Earl Rosenberger, Derek Jacob Aberle, Maneesha Elizabeth Chitanvis, Forest Michael Altherr, Nileena Velappan, Geoffrey Fairchild, Alina Deshpande
Summary: This study introduced a web-based tool called RED Alert, which aims to assist public health officials in detecting and understanding infectious disease re-emergence through data and analytics. The results showed that the tool was effective in identifying local re-emergence events and providing information on potential contributing factors and global re-emergence trends.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2021)
Proceedings Paper
Optics
Jessica Conrad, Amanda Ziemann, Randall Refeld, Nidhi Parikh, Amir Siraj, Nicholas Generous, Sara Del Valle, Geoffrey Fairchild, Carrie Manore
ALGORITHMS, TECHNOLOGIES, AND APPLICATIONS FOR MULTISPECTRAL AND HYPERSPECTRAL IMAGERY XXV
(2019)
Article
Public, Environmental & Occupational Health
Maneesha Chitanvis, Ashlynn R. Daughton, Forest Altherr, Nidhi Parikh, Geoffrey Fairchild, William Rosenberger, Nileena Velappan, Attelia Hollander, Emily Alipio-Lyon, Grace Vuyisich, Derek Aberle, Alina Deshpande
Proceedings Paper
Engineering, Electrical & Electronic
Amanda Ziemann, Geoffrey Fairchild, Jessica Conrad, Carrie Manore, Nidhi Parikh, Sara Del Valle, Nicholas Generous
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Nidhi Parikh, Madhav Marathe, Samarth Swarup
AGENT BASED MODELLING OF URBAN SYSTEMS, ABMUS 2016
(2017)
Article
Geochemistry & Geophysics
Anne-Marie Wefing, Jennifer Arps, Patrick Blaser, Claudia Wienberg, Dierk Hebbeln, Norbert Frank